Tripura State Board Of Secondary Education Tripura
This is an MCP server project based on the OpenAPI specification, used to handle the model context protocol of specific APIs, supports multiple transmission modes, and includes a complete development and testing toolchain.
rating : 2 points
downloads : 5.9K
What is an MCP server?
An MCP server is a service built on the Model Context Protocol that can interact with AI models. It parses the provided OpenAPI specification, converts API requests into a format understandable by the model, and returns the results.How to use an MCP server?
An MCP server can be started in multiple ways, including via the command line, configuration files, or environment variables. Users can specify different transmission modes (such as stdio, sse, streamable-http) to suit different usage scenarios.Applicable scenarios
An MCP server is suitable for application scenarios that require interaction with AI models, such as natural language processing, data querying, and automated tasks. It is particularly suitable for developers who need to quickly integrate and deploy model services.Main Features
OpenAPI Support
The MCP server automatically builds interfaces based on the specified OpenAPI document to ensure compatibility with the model.
Multi-Mode Support
Supports multiple transmission modes (such as stdio, sse, streamable-http) to meet the needs of different application scenarios.
Highly Configurable
Flexibly adjust the server behavior through environment variables or configuration files, including security parameters and API settings.
Built-in Testing Framework
Provides a complete test suite to facilitate the verification of server functionality and performance.
Advantages
Easy to integrate into existing systems and supports multiple API formats.
Provides a rich development toolchain (such as ruff, mypy, pytest) to ensure code quality.
Supports multiple transmission modes to adapt to different application scenarios.
Has good scalability and maintainability.
Limitations
May not be fully compatible with non-standard OpenAPI documents.
Requires a certain technical background to configure and manage the server.
May require additional optimization for high-concurrency scenarios.
Some advanced features may depend on specific environment configurations.
How to Use
Install Dependencies
After cloning the project, use pip or uv to install the dependencies.
Configure the Server
Define server parameters, such as API keys and transmission modes, through environment variables or configuration files.
Start the Server
Run the main script and select an appropriate transmission mode to start the server.
Usage Examples
Natural Language Q&A
Users send natural language questions to the server, and the server calls the model to generate answers.
Data Query
Users input query instructions, and the server calls the model to perform data retrieval tasks.
Frequently Asked Questions
What transmission modes does the MCP server support?
How to modify the configuration of the MCP server?
Is programming experience required to use the MCP server?
Can the MCP server be integrated with my existing system?
Related Resources
GitHub Repository
The source code and development documentation of the MCP server.
AG2 MCP Builder
A tool for building the MCP protocol to generate MCP server code.
OpenAPI Specification
The API definition file on which the MCP server is based.
Ruff Tool Guide
Instructions for the tool used for code formatting and static checking.

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